evolution methods of formation of neuronet models of complex economic systems
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ID: 182868
2014
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Abstract
The article analyses principles of formation of neuronet models of complex economic systems. It justifies prospectiveness of use of artificial intellect methods when modelling complex economic systems. It shows a possibility of use of evolution methods when forming neuronet models of complex economic systems for ensuring invariance of their generalising properties. It offers an algorithm with a genome from operons of fixed length. It considers all operons from the point of view of functional positions. It notes a specific feature of the algorithm, which allows excluding anthropogenic factors when selecting the neuronet models architecture. It proves adequacy of the formed neuronet models of complex economic systems.
| Reference Key |
h.2014bznesevolution
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|---|---|
| Authors | ;Khemelyov Oleksandr H. |
| Journal | journal of inorganic and organometallic polymers and materials |
| Year | 2014 |
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| Keywords | Keywords not found |
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